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Identification of Usutu Virus Africa 3 Lineage in a Survey of Mosquitoes and Birds from Urban Areas of Western Spain. Transbound Emerg Dis 2023. [DOI: 10.1155/2023/6893677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Usutu virus (USUV) is an emerging zoonotic arbovirus that has caused an increasing number of animal and human cases in Europe in recent years. Understanding the vector species and avian hosts involved in the USUV enzootic cycle in an area of active circulation is vital to anticipate potential outbreaks. Mosquitoes were captured in 2020, while wild birds were sampled in both 2020 and 2021 in Extremadura, southwestern Spain. The presence of USUV in the mosquito vectors was assessed by a real-time reverse transcription-polymerase chain reaction (rRT-PCR) assay and confirmed by sequencing amplicons from two generic RT-PCR sets for flaviviruses. Sequences were analysed phylogenetically. Bird sera were screened for flavivirus antibodies with a blocking ELISA kit and subsequently tested for virus-specific antibodies with a micro-virus-neutralization test. Overall, 6,004 mosquitoes belonging to 13 species were captured, including some well-known flavivirus vectors (Culex pipiens, Cx. perexiguus, and Cx. univittatus). Of the 438 pools tested, USUV was detected in two pools of Cx. pipiens. Phylogenetic analysis using a fragment of the NS5 gene assigned the USUV detected the Africa 3 lineage. Out of 1,413 wild birds tested, USUV-specific antibodies were detected in 17 birds (1.2%, 10 males and 7 females) from eight species. The first detection of USUV Africa 3 lineage in mosquitoes from Spain, together with serologically positive resident wild birds in urban and rural areas, indicates active circulation and a possible risk of exposure for the human population, with necessity to establish specific surveillance plans.
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Couper LI, Mordecai EA. Ecological drivers of dog heartworm transmission in California. Parasit Vectors 2022; 15:388. [PMID: 36274157 PMCID: PMC9590206 DOI: 10.1186/s13071-022-05526-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/05/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Effectively controlling heartworm disease-a major parasitic disease threatening animal health in the US and globally-requires understanding the local ecology of mosquito vectors involved in transmission. However, the key vector species in a given region are often unknown and challenging to identify. Here we investigate (i) the key vector species associated with transmission of the parasite, Dirofilaria immitis, in California and (ii) the climate and land cover drivers of vector presence. METHODS To identify key mosquito vectors involved in transmission, we incorporated long-term, finely resolved mosquito surveillance data and dog heartworm case data in a statistical modeling approach (fixed-effects regression) that rigorously controls for other unobserved drivers of heartworm cases. We then used a flexible machine learning approach (gradient boosted machines) to identify the climate and land cover variables associated with the presence of each species. RESULTS We found significant, regionally specific, positive associations between dog heartworm cases and the abundance of four vector species: Aedes aegypti (Central California), Ae. albopictus (Southern California), Ae. sierrensis (Central California), and Culiseta incidens (Northern and Central California). The proportion of developed land cover was one of the most important ecological variables predicting the presence or absence of the putative vector species. CONCLUSION Our results implicate three previously under-recognized vectors of dog heartworm transmission in California and indicate the land cover types in which each putative vector species is commonly found. Efforts to target these species could prioritize surveillance in these land cover types (e.g. near human dwellings in less urbanized settings for Ae. albopictus and Cs. incidens) but further investigation on the natural infection prevalence and host-biting rates of these species, as well as the other local vectors, is needed.
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Affiliation(s)
- Lisa I Couper
- Department of Biology, Stanford University, Stanford, CA, 94305, USA.
| | - Erin A Mordecai
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
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Ferraguti M, Martínez-de la Puente J, Figuerola J. Ecological Effects on the Dynamics of West Nile Virus and Avian Plasmodium: The Importance of Mosquito Communities and Landscape. Viruses 2021; 13:v13071208. [PMID: 34201673 PMCID: PMC8310121 DOI: 10.3390/v13071208] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/16/2021] [Accepted: 06/21/2021] [Indexed: 01/30/2023] Open
Abstract
Humans and wildlife are at risk from certain vector-borne diseases such as malaria, dengue, and West Nile and yellow fevers. Factors linked to global change, including habitat alteration, land-use intensification, the spread of alien species, and climate change, are operating on a global scale and affect both the incidence and distribution of many vector-borne diseases. Hence, understanding the drivers that regulate the transmission of pathogens in the wild is of great importance for ecological, evolutionary, health, and economic reasons. In this literature review, we discuss the ecological factors potentially affecting the transmission of two mosquito-borne pathogens circulating naturally between birds and mosquitoes, namely, West Nile virus (WNV) and the avian malaria parasites of the genus Plasmodium. Traditionally, the study of pathogen transmission has focused only on vectors or hosts and the interactions between them, while the role of landscape has largely been ignored. However, from an ecological point of view, it is essential not only to study the interaction between each of these organisms but also to understand the environmental scenarios in which these processes take place. We describe here some of the similarities and differences in the transmission of these two pathogens and how research into both systems may facilitate a greater understanding of the dynamics of vector-borne pathogens in the wild.
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Affiliation(s)
- Martina Ferraguti
- Department of Theoretical and Computational Ecology (TCE), Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands
- Correspondence: (M.F.); (J.M.-d.l.P.)
| | - Josué Martínez-de la Puente
- Department of Parasitology, University of Granada, E-18071 Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Spain
- Correspondence: (M.F.); (J.M.-d.l.P.)
| | - Jordi Figuerola
- Doñana Biological Station (EBD-CSIC), E-41092 Seville, Spain;
- CIBER of Epidemiology and Public Health (CIBERESP), Spain
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Ogega OM, Alobo M. Impact of 1.5 oC and 2 oC global warming scenarios on malaria transmission in East Africa. AAS Open Res 2021; 3:22. [PMID: 33842833 PMCID: PMC8008358 DOI: 10.12688/aasopenres.13074.3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/04/2021] [Indexed: 11/20/2022] Open
Abstract
Background: Malaria remains a global challenge with approximately 228 million cases and 405,000 malaria-related deaths reported in 2018 alone; 93% of which were in sub-Saharan Africa. Aware of the critical role than environmental factors play in malaria transmission, this study aimed at assessing the relationship between precipitation, temperature, and clinical malaria cases in East Africa and how the relationship may change under 1.5
oC and 2.0
oC global warming levels (hereinafter GWL1.5 and GWL2.0, respectively). Methods: A correlation analysis was done to establish the current relationship between annual precipitation, mean temperature, and clinical malaria cases. Differences between annual precipitation and mean temperature value projections for periods 2008-2037 and 2023-2052 (corresponding to GWL1.5 and GWL2.0, respectively), relative to the control period (1977-2005), were computed to determine how malaria transmission may change under the two global warming scenarios. Results: A predominantly positive/negative correlation between clinical malaria cases and temperature/precipitation was observed. Relative to the control period, no major significant changes in precipitation were shown in both warming scenarios. However, an increase in temperature of between 0.5
oC and 1.5
oC and 1.0
oC to 2.0
oC under GWL1.5 and GWL2.0, respectively, was recorded. Hence, more areas in East Africa are likely to be exposed to temperature thresholds favourable for increased malaria vector abundance and, hence, potentially intensify malaria transmission in the region. Conclusions: GWL1.5 and GWL2.0 scenarios are likely to intensify malaria transmission in East Africa. Ongoing interventions should, therefore, be intensified to sustain the gains made towards malaria elimination in East Africa in a warming climate.
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Affiliation(s)
- Obed Matundura Ogega
- Programmes, The African Academy of Sciences, Nairobi, Kenya.,School of Environmental Studies, Kenyatta University, Nairobi, Kenya
| | - Moses Alobo
- Programmes, The African Academy of Sciences, Nairobi, Kenya
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Ogega OM, Alobo M. Impact of 1.5 oC and 2 oC global warming scenarios on malaria transmission in East Africa. AAS Open Res 2021; 3:22. [PMID: 33842833 PMCID: PMC8008358 DOI: 10.12688/aasopenres.13074.2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/04/2021] [Indexed: 12/23/2023] Open
Abstract
Background: Malaria remains a global challenge with approximately 228 million cases and 405,000 malaria-related deaths reported in 2018 alone; 93% of which were in sub-Saharan Africa. Aware of the critical role than environmental factors play in malaria transmission, this study aimed at assessing the relationship between precipitation, temperature, and clinical malaria cases in East Africa and how the relationship may change under 1.5 oC and 2.0 oC global warming levels (hereinafter GWL1.5 and GWL2.0, respectively). Methods: A correlation analysis was done to establish the current relationship between annual precipitation, mean temperature, and clinical malaria cases. Differences between annual precipitation and mean temperature value projections for periods 2008-2037 and 2023-2052 (corresponding to GWL1.5 and GWL2.0, respectively), relative to the control period (1977-2005), were computed to determine how malaria transmission may change under the two global warming scenarios. Results: A predominantly positive/negative correlation between clinical malaria cases and temperature/precipitation was observed. Relative to the control period, no major significant changes in precipitation were shown in both warming scenarios. However, an increase in temperature of between 0.5 oC and 1.5 oC and 1.0 oC to 2.0 oC under GWL1.5 and GWL2.0, respectively, was recorded. Hence, more areas in East Africa are likely to be exposed to temperature thresholds favourable for increased malaria vector abundance and, hence, potentially intensify malaria transmission in the region. Conclusions: GWL1.5 and GWL2.0 scenarios are likely to intensify malaria transmission in East Africa. Ongoing interventions should, therefore, be intensified to sustain the gains made towards malaria elimination in East Africa in a warming climate.
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Affiliation(s)
- Obed Matundura Ogega
- Programmes, The African Academy of Sciences, Nairobi, Kenya
- School of Environmental Studies, Kenyatta University, Nairobi, Kenya
| | - Moses Alobo
- Programmes, The African Academy of Sciences, Nairobi, Kenya
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Ateba FF, Sagara I, Sogoba N, Touré M, Konaté D, Diawara SI, Diakité SAS, Diarra A, Coulibaly MD, Dolo M, Dolo A, Sacko A, Thiam SM, Sissako A, Sangaré L, Diakité M, Koita OA, Cissoko M, Traore SF, Winch PJ, Febrero-Bande M, Shaffer JG, Krogtad DJ, Marker HC, Doumbia S, Gaudart J. Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E4698. [PMID: 32629876 PMCID: PMC7370019 DOI: 10.3390/ijerph17134698] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/19/2020] [Accepted: 06/23/2020] [Indexed: 02/06/2023]
Abstract
Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship between those conditions and the incidence of malaria in Dangassa and Koila, Mali. Malaria data was collected through passive case detection at community health facilities of each study site from June 2015 to January 2017. Climate and environmental data were obtained over the same time period from the Goddard Earth Sciences (Giovanni) platform and hydrological data from Mali hydraulic services. A generalized additive model was used to determine the lagged time between each principal component analysis derived component and the incidence of malaria cases, and also used to analyze the relationship between malaria and the lagged components in a multivariate approach. Malaria transmission patterns were bimodal at both sites, but peak and lull periods were longer lasting for Koila study site. Temperatures were associated with malaria incidence in both sites. In Dangassa, the wind speed (p = 0.005) and river heights (p = 0.010) contributed to increasing malaria incidence, in contrast to Koila, where it was humidity (p < 0.001) and vegetation (p = 0.004). The relationships between environmental factors and malaria incidence differed between the two settings, implying different malaria dynamics and adjustments in the conception and plan of interventions.
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Affiliation(s)
- François Freddy Ateba
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
- Department of Mathematics, University of Quebec at Montreal (UQAM), Montréal, QC H2X 3Y7, Canada
| | - Issaka Sagara
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
- Department of Public Health Education and Research, Faculty of Medicine and Odonto-Stomatology, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali;
| | - Nafomon Sogoba
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Mahamoudou Touré
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Drissa Konaté
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Sory Ibrahim Diawara
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Séidina Aboubacar Samba Diakité
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Ayouba Diarra
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Mamadou D. Coulibaly
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Mathias Dolo
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Amagana Dolo
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Aissata Sacko
- Department of Public Health Education and Research, Faculty of Medicine and Odonto-Stomatology, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali;
| | - Sidibe M’baye Thiam
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Aliou Sissako
- Laboratory of Applied Molecular Biology (LBMA), Science and Technologies Faculty (FST), University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (A.S.); (L.S.); (O.A.K.)
| | - Lansana Sangaré
- Laboratory of Applied Molecular Biology (LBMA), Science and Technologies Faculty (FST), University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (A.S.); (L.S.); (O.A.K.)
| | - Mahamadou Diakité
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Ousmane A. Koita
- Laboratory of Applied Molecular Biology (LBMA), Science and Technologies Faculty (FST), University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (A.S.); (L.S.); (O.A.K.)
| | - Mady Cissoko
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
- APHM, INSERM, IRD, SESSTIM, Hop Timone, BioSTIC, Biostatistic & ICT, Aix Marseille Université, 13005 Marseille, France
| | - Sékou Fantamady Traore
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
| | - Peter John Winch
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA; (P.J.W.); (H.C.M.)
| | - Manuel Febrero-Bande
- Department of Statistics, Mathematical Analysis and Optimization, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain;
| | - Jeffrey G. Shaffer
- Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America, 1440 Canal Street New Orleans, LA 70112, USA; (J.G.S.); (D.J.K.)
| | - Donald J. Krogtad
- Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America, 1440 Canal Street New Orleans, LA 70112, USA; (J.G.S.); (D.J.K.)
| | - Hannah Catherine Marker
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA; (P.J.W.); (H.C.M.)
| | - Seydou Doumbia
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
- Department of Public Health Education and Research, Faculty of Medicine and Odonto-Stomatology, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali;
| | - Jean Gaudart
- Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali; (F.F.A.); (I.S.); (N.S.); (M.T.); (D.K.); (S.I.D.); (S.A.S.D.); (A.D.); (M.D.C.); (M.D.); (A.D.); (S.M.T.); (M.D.); (M.C.); (S.F.T.)
- APHM, INSERM, IRD, SESSTIM, Hop Timone, BioSTIC, Biostatistic & ICT, Aix Marseille Université, 13005 Marseille, France
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7
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Masello JF, Martínez J, Calderón L, Wink M, Quillfeldt P, Sanz V, Theuerkauf J, Ortiz-Catedral L, Berkunsky I, Brunton D, Díaz-Luque JA, Hauber ME, Ojeda V, Barnaud A, Casalins L, Jackson B, Mijares A, Rosales R, Seixas G, Serafini P, Silva-Iturriza A, Sipinski E, Vásquez RA, Widmann P, Widmann I, Merino S. Can the intake of antiparasitic secondary metabolites explain the low prevalence of hemoparasites among wild Psittaciformes? Parasit Vectors 2018; 11:357. [PMID: 29921331 PMCID: PMC6008929 DOI: 10.1186/s13071-018-2940-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 06/06/2018] [Indexed: 12/17/2022] Open
Abstract
Background Parasites can exert selection pressure on their hosts through effects on survival, on reproductive success, on sexually selected ornament, with important ecological and evolutionary consequences, such as changes in population viability. Consequently, hemoparasites have become the focus of recent avian studies. Infection varies significantly among taxa. Various factors might explain the differences in infection among taxa, including habitat, climate, host density, the presence of vectors, life history and immune defence. Feeding behaviour can also be relevant both through increased exposure to vectors and consumption of secondary metabolites with preventative or therapeutic effects that can reduce parasite load. However, the latter has been little investigated. Psittaciformes (parrots and cockatoos) are a good model to investigate these topics, as they are known to use biological control against ectoparasites and to feed on toxic food. We investigated the presence of avian malaria parasites (Plasmodium), intracellular haemosporidians (Haemoproteus, Leucocytozoon), unicellular flagellate protozoans (Trypanosoma) and microfilariae in 19 Psittaciformes species from a range of habitats in the Indo-Malayan, Australasian and Neotropical regions. We gathered additional data on hemoparasites in wild Psittaciformes from the literature. We considered factors that may control the presence of hemoparasites in the Psittaciformes, compiling information on diet, habitat, and climate. Furthermore, we investigated the role of diet in providing antiparasitic secondary metabolites that could be used as self-medication to reduce parasite load. Results We found hemoparasites in only two of 19 species sampled. Among them, all species that consume at least one food item known for its secondary metabolites with antimalarial, trypanocidal or general antiparasitic properties, were free from hemoparasites. In contrast, the infected parrots do not consume food items with antimalarial or even general antiparasitic properties. We found that the two infected species in this study consumed omnivorous diets. When we combined our data with data from studies previously investigating blood parasites in wild parrots, the positive relationship between omnivorous diets and hemoparasite infestation was confirmed. Individuals from open habitats were less infected than those from forests. Conclusions The consumption of food items known for their secondary metabolites with antimalarial, trypanocidal or general antiparasitic properties, as well as the higher proportion of infected species among omnivorous parrots, could explain the low prevalence of hemoparasites reported in many vertebrates. Electronic supplementary material The online version of this article (10.1186/s13071-018-2940-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Juan F Masello
- Department of Animal Ecology and Systematics, Justus-Liebig Universität Gießen, Heinrich-Buff-Ring 26, D-35392, Gießen, Germany.
| | - Javier Martínez
- Departamento de Biomedicina y Biotecnologıía, Area Parasitologıía, Facultad de Farmacia, Universidad de Alcalá (UAH), NII Km 33.600, 28805 Alcalá de Henares, Madrid, Spain
| | - Luciano Calderón
- Department of Animal Ecology and Systematics, Justus-Liebig Universität Gießen, Heinrich-Buff-Ring 26, D-35392, Gießen, Germany
| | - Michael Wink
- Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, INF 364, 69120, Heidelberg, Germany
| | - Petra Quillfeldt
- Department of Animal Ecology and Systematics, Justus-Liebig Universität Gießen, Heinrich-Buff-Ring 26, D-35392, Gießen, Germany
| | - Virginia Sanz
- Centro de Ecología, Instituto Venezolano de Investigaciones Científicas, Altos de Pipe, Venezuela
| | - Jörn Theuerkauf
- Museum and Institute of Zoology, Polish Academy of Sciences, Wilcza 64, 00-679, Warsaw, Poland
| | - Luis Ortiz-Catedral
- Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand
| | - Igor Berkunsky
- Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina
| | - Dianne Brunton
- Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand
| | - José A Díaz-Luque
- Fundación para la Investigación y la Conservación de los Loros en Bolivia (CLB), Avenida Francisco Mora, Santa Cruz de la Sierra, Bolivia.,Centro de Conservación de Loros Silvestres (CREA), Santa Cruz de la Sierra, Bolivia
| | - Mark E Hauber
- Department of Animal Biology, School of Integrative Biology, University of Illinois, Urbana-Champaign, IL, 61801, USA
| | - Valeria Ojeda
- ZoologyDepartment (CRUB-UNCo), INIBIOMA (Universidad Nacional del Comahue-CONICET), 8400, Bariloche, Argentina
| | - Antoine Barnaud
- Province des Iles Loyauté, Direction du Développement Economique, BP 50 98820, Wé, Lifou, New Caledonia
| | - Laura Casalins
- ZoologyDepartment (CRUB-UNCo), INIBIOMA (Universidad Nacional del Comahue-CONICET), 8400, Bariloche, Argentina
| | - Bethany Jackson
- Auckland Zoological Park, Motions Road, Western Springs, Auckland, 1022, New Zealand.,School of Veterinary and Life Sciences, Murdoch University, Perth, WA, Australia
| | - Alfredo Mijares
- Centro de Bioquímica y Biofísica, Instituto Venezolano de Investigaciones Científicas, Altos de Pipe, Venezuela
| | - Romel Rosales
- Centro de Bioquímica y Biofísica, Instituto Venezolano de Investigaciones Científicas, Altos de Pipe, Venezuela
| | - Gláucia Seixas
- Projeto Papagaio-verdadeiro, Fundação Neotropica do Brasil, Campo Grande, Brazil
| | - Patricia Serafini
- Base Multifuncional do CEMAVE em Florianópolis/SC, Estação Ecológica Carijós - ICMBio, Florianópolis, Brazil
| | - Adriana Silva-Iturriza
- Centro de Bioquímica y Biofísica, Instituto Venezolano de Investigaciones Científicas, Altos de Pipe, Venezuela
| | - Elenise Sipinski
- Projeto de Conservação do papagaio-de-cara-roxa, SPVS - Sociedade de Pesquisa em Vida Selvagem e Educação Ambiental, Curitiba, Brazil
| | - Rodrigo A Vásquez
- Institute of Ecology and Biodiversity, Departamento de Ciencias Ecológicas, Facultad de Ciencias Universidad de Chile, Santiago, Chile
| | - Peter Widmann
- Katala Foundation, Inc., Puerto Princesa City, Palawan, Philippines
| | - Indira Widmann
- Katala Foundation, Inc., Puerto Princesa City, Palawan, Philippines
| | - Santiago Merino
- Departamento de Ecología Evolutiva, Museo Nacional de Ciencias Naturales, Consejo Superior de Investigaciones Científicas, 28006, Madrid, Spain
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8
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Ferraguti M, Martínez-de la Puente J, Bensch S, Roiz D, Ruiz S, Viana DS, Soriguer RC, Figuerola J. Ecological determinants of avian malaria infections: An integrative analysis at landscape, mosquito and vertebrate community levels. J Anim Ecol 2018; 87:727-740. [PMID: 29495129 DOI: 10.1111/1365-2656.12805] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 12/21/2017] [Indexed: 12/20/2022]
Abstract
Vector and host communities, as well as habitat characteristics, may have important but different impacts on the prevalence, richness and evenness of vector-borne parasites. We investigated the relative importance of (1) the mosquito community composition, (2) the vertebrate community composition and (3) landscape characteristics on the prevalence, richness and evenness of avian Plasmodium. We hypothesized that parasite prevalence will be more affected by vector-related parameters, while host parameters should be also important to explain Plasmodium richness and evenness. We sampled 2,588 wild house sparrows (Passer domesticus) and 340,829 mosquitoes, and we performed vertebrate censuses at 45 localities in the Southwest of Spain. These localities included urban, rural and natural landscapes that were characterized by several habitat variables. Twelve Plasmodium lineages were identified in house sparrows corresponding to three major clades. Variation partitioning showed that landscape characteristics explained the highest fraction of variation in all response variables (21.0%-44.8%). Plasmodium prevalence was in addition explained by vector-related variables (5.4%) and its interaction with landscape (10.2%). Parasite richness and evenness were mostly explained by vertebrate community-related variables. The structuring role of landscape characteristics in vector and host communities was a key factor in determining parasite prevalence, richness and evenness, although the role of each factor differed according to the parasite parameters studied. These results show that the biotic and abiotic contexts are important to explain the transmission dynamics of mosquito-borne pathogens in the wild.
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Affiliation(s)
- Martina Ferraguti
- Departamento de Ecología de Humedales, Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - Josué Martínez-de la Puente
- Departamento de Ecología de Humedales, Estación Biológica de Doñana (EBD-CSIC), Seville, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - David Roiz
- Departamento de Ecología de Humedales, Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - Santigo Ruiz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Diputación de Huelva, Área de Medio Ambiente, Servicio de Control de Mosquitos, Huelva, Spain
| | - Duarte S Viana
- Departamento de Ecología de Humedales, Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - Ramón C Soriguer
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Departamento de Etología y Conservación de la Biodiversidad, Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - Jordi Figuerola
- Departamento de Ecología de Humedales, Estación Biológica de Doñana (EBD-CSIC), Seville, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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9
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Sissoko MS, Sissoko K, Kamate B, Samake Y, Goita S, Dabo A, Yena M, Dessay N, Piarroux R, Doumbo OK, Gaudart J. Temporal dynamic of malaria in a suburban area along the Niger River. Malar J 2017; 16:420. [PMID: 29058578 PMCID: PMC5651586 DOI: 10.1186/s12936-017-2068-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 10/16/2017] [Indexed: 12/05/2022] Open
Abstract
Background Even if rainfall and temperature are factors classically associated to malaria, little is known about other meteorological factors, their variability and combinations related to malaria, in association with river height variations. Furthermore, in suburban area, urbanization and growing population density should be assessed in relation to these environmental factors. The aim of this study was to assess the impact of combined environmental, meteorological and hydrological factors on malaria incidence through time in the context of urbanization. Methods Population observational data were prospectively collected. Clinical malaria was defined as the presence of parasites in addition to clinical symptoms. Meteorological and hydrological factors were measured daily. For each factors variation indices were estimated. Urbanization was yearly estimated assessing satellite imaging and field investigations. Principal component analysis was used for dimension reduction and factors combination. Lags between malaria incidences and the main components were assessed by cross-correlation functions. Generalized additive model was used to assess relative impact of different environmental components, taking into account lags, and modelling non-linear relationships. Change-point analysis was used to determine transmission periods within years. Results Malaria incidences were dominated by annual periodicity and varied through time without modification of the dynamic, with no impact of the urbanization. The main meteorological factor associated with malaria was a combination of evaporation, humidity and rainfall, with a lag of 3 months. The relationship between combined temperature factors showed a linear impact until reaching high temperatures limiting malaria incidence, with a lag 3.25 months. Height and variation of the river were related to malaria incidence (respectively 6 week lag and no lag). Conclusions The study emphasizes no decreasing trend of malaria incidence despite accurate access to care and control strategies in accordance to international recommendations. Furthermore, no decreasing trend was showed despite the urbanization of the area. Malaria transmission remain increase 3 months after the beginning of the dry season. Addition to evaporation versus humidity/rainfall, nonlinear relationship for temperature and river height and variations have to be taken into account when implementing malaria control programmes.
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Affiliation(s)
- Mahamadou Soumana Sissoko
- Department of Epidemiology of Parasitic Diseases-Faculty of Medicine and Dentistry-Faculty of Pharmacy, Malaria Research and Training Centre, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali. .,Aix Marseille Univ, IRD, INSERM, SESSTIM, 13005, Marseille, France.
| | - Kourane Sissoko
- Department of Epidemiology of Parasitic Diseases-Faculty of Medicine and Dentistry-Faculty of Pharmacy, Malaria Research and Training Centre, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Bourama Kamate
- Department of Epidemiology of Parasitic Diseases-Faculty of Medicine and Dentistry-Faculty of Pharmacy, Malaria Research and Training Centre, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Yacouba Samake
- Department of Epidemiology of Parasitic Diseases-Faculty of Medicine and Dentistry-Faculty of Pharmacy, Malaria Research and Training Centre, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Siaka Goita
- Department of Epidemiology of Parasitic Diseases-Faculty of Medicine and Dentistry-Faculty of Pharmacy, Malaria Research and Training Centre, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Abdoulaye Dabo
- Department of Epidemiology of Parasitic Diseases-Faculty of Medicine and Dentistry-Faculty of Pharmacy, Malaria Research and Training Centre, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mama Yena
- Direction Nationale de l'Hydraulique, Bamako, Mali
| | - Nadine Dessay
- Nadine Dessay, UMR 228 ESPACE-DEV (IRD, UM, UG, UA, UR), Responsable équipe Observation Spatiale de l'Environnement (OSE), Maison de la Télédétection, 500 rue Jean-François Breton, 34093, Montpellier Cedex 5, France
| | - Renaud Piarroux
- Service de Parasitologie-Mycologie Hôpital de la Timone et UMR MD 3 Aix-Marseille Université, Marseille, France
| | - Ogobara K Doumbo
- Department of Epidemiology of Parasitic Diseases-Faculty of Medicine and Dentistry-Faculty of Pharmacy, Malaria Research and Training Centre, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.,Aix Marseille Univ, IRD, INSERM, SESSTIM, 13005, Marseille, France
| | - Jean Gaudart
- Aix Marseille Univ, IRD, INSERM, SESSTIM, 13005, Marseille, France
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10
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Adegboye OA, Leung DHY, Wang Y. Analysis of spatial data with a nested correlation structure. J R Stat Soc Ser C Appl Stat 2017. [DOI: 10.1111/rssc.12230] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
| | | | - You‐Gan Wang
- Queensland University of Technology Brisbane Australia
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11
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Chuang TW, Soble A, Ntshalintshali N, Mkhonta N, Seyama E, Mthethwa S, Pindolia D, Kunene S. Assessment of climate-driven variations in malaria incidence in Swaziland: toward malaria elimination. Malar J 2017; 16:232. [PMID: 28571572 PMCID: PMC5455096 DOI: 10.1186/s12936-017-1874-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 05/24/2017] [Indexed: 12/01/2022] Open
Abstract
Background Swaziland aims to eliminate malaria by 2020. However, imported cases from neighbouring endemic countries continue to sustain local parasite reservoirs and initiate transmission. As certain weather and climatic conditions may trigger or intensify malaria outbreaks, identification of areas prone to these conditions may aid decision-makers in deploying targeted malaria interventions more effectively. Methods Malaria case-surveillance data for Swaziland were provided by Swaziland’s National Malaria Control Programme. Climate data were derived from local weather stations and remote sensing images. Climate parameters and malaria cases between 2001 and 2015 were then analysed using seasonal autoregressive integrated moving average models and distributed lag non-linear models (DLNM). Results The incidence of malaria in Swaziland increased between 2005 and 2010, especially in the Lubombo and Hhohho regions. A time-series analysis indicated that warmer temperatures and higher precipitation in the Lubombo and Hhohho administrative regions are conducive to malaria transmission. DLNM showed that the risk of malaria increased in Lubombo when the maximum temperature was above 30 °C or monthly precipitation was above 5 in. In Hhohho, the minimum temperature remaining above 15 °C or precipitation being greater than 10 in. might be associated with malaria transmission. Conclusions This study provides a preliminary assessment of the impact of short-term climate variations on malaria transmission in Swaziland. The geographic separation of imported and locally acquired malaria, as well as population behaviour, highlight the varying modes of transmission, part of which may be relevant to climate conditions. Thus, the impact of changing climate conditions should be noted as Swaziland moves toward malaria elimination. Electronic supplementary material The online version of this article (doi:10.1186/s12936-017-1874-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ting-Wu Chuang
- Department of Molecular Parasitology and Tropical Diseases, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wuxing St. Sinyi District, Taipei, 100, Taiwan.
| | - Adam Soble
- Clinton Health Access Initiative, Manzini, Swaziland
| | | | - Nomcebo Mkhonta
- National Malaria Control Programme, Ministry of Health, Manzini, Swaziland
| | - Eric Seyama
- Swaziland Meteorological Service, Mbabane, Swaziland
| | - Steven Mthethwa
- National Malaria Control Programme, Ministry of Health, Manzini, Swaziland
| | | | - Simon Kunene
- National Malaria Control Programme, Ministry of Health, Manzini, Swaziland
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12
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Qassim A, Viki M, Ng SK, Jersmann H, Casson RJ. Climate and season: the effects on ophthalmic diseases. Clin Exp Ophthalmol 2017; 45:385-392. [PMID: 27894161 DOI: 10.1111/ceo.12883] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 11/22/2016] [Accepted: 11/23/2016] [Indexed: 12/11/2022]
Abstract
Seasonal changes and climate have a significant impact on human health. Diseases influenced by temperature and climate conditions are likely to undergo dynamic pattern shifts with consequent impact on human health. A number of infectious and non-infectious ophthalmic diseases are influenced by temperature and seasonality. Awareness of this is important from public and global health perspective in addition to resource allocation strategies. We examine the evidence for a seasonal pattern to ophthalmic diseases and assess the possible impact of climate change.
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Affiliation(s)
- Ayub Qassim
- University of Adelaide, Adelaide, South Australia, Australia
| | - Mthulisi Viki
- University of Adelaide, Adelaide, South Australia, Australia
| | - Soo Khai Ng
- University of Adelaide, Adelaide, South Australia, Australia.,South Australian Institute of Ophthalmology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Hubertus Jersmann
- Lung Research, Hanson Institute and Department of Thoracic Medicine, Royal Adelaide Hospital, Adelaide, South Australia, Australia.,Department of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Robert J Casson
- University of Adelaide, Adelaide, South Australia, Australia.,South Australian Institute of Ophthalmology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
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13
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Joint spatial time-series epidemiological analysis of malaria and cutaneous leishmaniasis infection. Epidemiol Infect 2016; 145:685-700. [PMID: 27903308 DOI: 10.1017/s0950268816002764] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Malaria and leishmaniasis are among the two most important health problems of many developing countries especially in the Middle East and North Africa. It is common for vector-borne infectious diseases to have similar hotspots which may be attributed to the overlapping ecological distribution of the vector. Hotspot analyses were conducted to simultaneously detect the location of local hotspots and test their statistical significance. Spatial scan statistics were used to detect and test hotspots of malaria and cutaneous leishmaniasis (CL) in Afghanistan in 2009. A multivariate negative binomial model was used to simultaneously assess the effects of environmental variables on malaria and CL. In addition to the dependency between malaria and CL disease counts, spatial and temporal information were also incorporated in the model. Results indicated that malaria and CL incidence peaked at the same periods. Two hotspots were detected for malaria and three for CL. The findings in the current study show an association between the incidence of malaria and CL in the studied areas of Afghanistan. The incidence of CL disease in a given month is linked with the incidence of malaria in the previous month. Co-existence of malaria and CL within the same geographical area was supported by this study, highlighting the presence and effects of environmental variables such as temperature and precipitation. People living in areas with malaria are at increased risk for leishmaniasis infection. Local healthcare authorities should consider the co-infection problem by recommending systematic malaria screening for all CL patients.
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14
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Onyango EA, Sahin O, Awiti A, Chu C, Mackey B. An integrated risk and vulnerability assessment framework for climate change and malaria transmission in East Africa. Malar J 2016; 15:551. [PMID: 27835976 PMCID: PMC5105305 DOI: 10.1186/s12936-016-1600-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 11/04/2016] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Malaria is one of the key research concerns in climate change-health relationships. Numerous risk assessments and modelling studies provide evidence that the transmission range of malaria will expand with rising temperatures, adversely impacting on vulnerable communities in the East African highlands. While there exist multiple lines of evidence for the influence of climate change on malaria transmission, there is insufficient understanding of the complex and interdependent factors that determine the risk and vulnerability of human populations at the community level. Moreover, existing studies have had limited focus on the nature of the impacts on vulnerable communities or how well they are prepared to cope. In order to address these gaps, a systems approach was used to present an integrated risk and vulnerability assessment framework for studies of community level risk and vulnerability to malaria due to climate change. RESULTS Drawing upon published literature on existing frameworks, a systems approach was applied to characterize the factors influencing the interactions between climate change and malaria transmission. This involved structural analysis to determine influential, relay, dependent and autonomous variables in order to construct a detailed causal loop conceptual model that illustrates the relationships among key variables. An integrated assessment framework that considers indicators of both biophysical and social vulnerability was proposed based on the conceptual model. CONCLUSIONS A major conclusion was that this integrated assessment framework can be implemented using Bayesian Belief Networks, and applied at a community level using both quantitative and qualitative methods with stakeholder engagement. The approach enables a robust assessment of community level risk and vulnerability to malaria, along with contextually relevant and targeted adaptation strategies for dealing with malaria transmission that incorporate both scientific and community perspectives.
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Affiliation(s)
- Esther Achieng Onyango
- Centre for Environment and Population Health, Griffith University, School of Environment, 170 Kessels Road, Nathan, 4111 Australia
| | - Oz Sahin
- School of Engineering, Griffith University, Gold Coast, 4222 Australia
- Griffith Climate Change Response Program, Griffith University, Gold Coast, 4222 Australia
| | - Alex Awiti
- East African Institute, Aga Khan University East Africa, 2nd Parklands Avenue, Nairobi, 00100 Kenya
| | - Cordia Chu
- Centre for Environment and Population Health, Griffith University, School of Environment, 170 Kessels Road, Nathan, 4111 Australia
| | - Brendan Mackey
- Griffith Climate Change Response Program, Griffith University, Gold Coast, 4222 Australia
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15
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Effects of landscape anthropization on mosquito community composition and abundance. Sci Rep 2016; 6:29002. [PMID: 27373794 PMCID: PMC4931447 DOI: 10.1038/srep29002] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2015] [Accepted: 06/09/2016] [Indexed: 11/22/2022] Open
Abstract
Anthropogenic landscape transformation has an important effect on vector-borne pathogen transmission. However, the effects of urbanization on mosquito communities are still only poorly known. Here, we evaluate how land-use characteristics are related to the abundance and community composition of mosquitoes in an area with endemic circulation of numerous mosquito-borne pathogens. We collected 340 829 female mosquitoes belonging to 13 species at 45 localities spatially grouped in 15 trios formed by 1 urban, 1 rural and 1 natural area. Mosquito abundance and species richness were greater in natural and rural areas than in urban areas. Environmental factors including land use, vegetation and hydrological characteristics were related to mosquito abundance and community composition. Given the differing competences of each species in pathogen transmission, these results provide valuable information on the transmission potential of mosquito-borne pathogens that will be of great use in public and animal health management by allowing, for instance, the identification of the priority areas for pathogen surveillance and vector control.
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16
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A modelling framework for pest population dynamics and management: An application to the grape berry moth. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2015.10.018] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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17
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18
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Gilioli G, Pasquali S, Parisi S, Winter S. Modelling the potential distribution of Bemisia tabaci in Europe in light of the climate change scenario. PEST MANAGEMENT SCIENCE 2014; 70:1611-1623. [PMID: 24458692 DOI: 10.1002/ps.3734] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2013] [Accepted: 01/16/2014] [Indexed: 06/03/2023]
Abstract
BACKGROUND Bemisia tabaci is a serious pest of agricultural and horticultural crops in greenhouses and fields around the world. This paper deals with the distribution of the pest under field conditions. In Europe, the insect is currently found in coastal regions of Mediterranean countries where it is subject to quarantine regulations. To assess the risk presented by B. tabaci to Europe, the area of potential establishment of this insect, in light of the climate change scenario, was assessed by a temperature-dependent physiologically based demographic model (PBDM). RESULTS The simulated potential distribution under current climate conditions has been successfully validated with the available field records of B. tabaci in Europe. Considering climate change scenarios of +1 and +2 °C, range expansion by B. tabaci is predicted, particularly in Spain, France, Italy, Greece and along the Adriatic coast of the Balkans. Nonetheless, even under the scenario of +2 °C, northern European countries are not likely to be at risk of B. tabaci establishment because of climatic limitations. CONCLUSION Model validation with field observations and evaluation of uncertainties associated with model parameter variability support the reliability of model results. The PBDM developed here can be applied to other organisms and offers significant advantages for assessing the potential distribution of invasive species.
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19
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Arab A, Jackson MC, Kongoli C. Modelling the effects of weather and climate on malaria distributions in West Africa. Malar J 2014; 13:126. [PMID: 24678602 PMCID: PMC3976358 DOI: 10.1186/1475-2875-13-126] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Accepted: 03/22/2014] [Indexed: 11/21/2022] Open
Abstract
Background Malaria is a leading cause of mortality worldwide. There is currently conflicting data and interpretation on how variability in climate factors affects the incidence of malaria. This study presents a hierarchical Bayesian modelling framework for the analysis of malaria versus climate factors in West Africa. Methods The hierarchical Bayesian framework takes into account spatiotemporal dependencies, and in this paper is applied to annual malaria and climate data from ten West African countries (Benin, Burkina Faso, Côte d'Ivoire, Gambia, Ghana, Liberia, Mali, Senegal, Sierra Leone, and Togo) during the period 1996-2006. Results Results show a statistically significant correspondence between malaria rates and the climate variables considered. The two most important climate factors are found to be average annual temperature and total annual precipitation, and they show negative association with malaria incidence. Conclusions This modelling framework provides a useful approach for studying the impact of climate variability on the spread of malaria and may help to resolve some conflicting interpretations in the literature.
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Affiliation(s)
- Ali Arab
- Department of Mathematics and Statistics, Georgetown University, Washington, DC 20057, USA.
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20
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Gilioli G, Caroli AM, Tikubet G, Herren HR, Baumgärtner J. Implementation of a socio-ecological system navigation approach to human development in sub-saharan african communities. J Public Health Res 2014; 3:218. [PMID: 25170511 PMCID: PMC4140384 DOI: 10.4081/jphr.2014.218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Accepted: 03/04/2014] [Indexed: 11/23/2022] Open
Abstract
This paper presents a framework for the development of socio-ecological systems towards enhanced sustainability. Emphasis is given to the dynamic properties of complex, adaptive social-ecological systems, their structure and to the fundamental role of agriculture. The tangible components that meet the needs of specific projects executed in Kenya and Ethiopia encompass project objectives, innovation, facilitation, continuous recording and analyses of monitoring data, that allow adaptive management and system navigation. Two case studies deal with system navigation through the mitigation of key constraints; they aim to improve human health thanks to anopheline malaria vectors control in Nyabondo (Kenya), and to improve cattle health through tsetse control and antitrypanosomal drug administration to cattle in Luke (Ethiopia). The second case deals with a socio-ecological navigation system to enhance sustainability, establishing a periurban diversified enterprise in Addis Ababa (Ethiopia) and developing a rural sustainable social-ecological system in Luke (Ethiopia). The project procedures are briefly described here and their outcomes are analysed in relation to the stated objectives. The methodology for human and cattle disease vector control were easier to implement than the navigation of social-ecological systems towards sustainability enhancement. The achievements considerably differed between key constraints removal and sustainability enhancement projects. Some recommendations are made to rationalise human and cattle health improvement efforts and to smoothen the road towards enhanced sustainability: i) technology system implementation should be carried out through an innovation system; ii) transparent monitoring information should be continuously acquired and evaluated for assessing the state of the system in relation to stated objectives for (a) improving the insight into the systems behaviour and (b) rationalizing decision support; iii) the different views of all stakeholders should be reconciled in a pragmatic approach to social-ecological system management. Significance for public health Recently, there is a growing interest in studying the link between human, animal and environmental health. The connection between these different dimensions is particularly important for developing countries in which people face the challenge of escaping vicious cycle of high diseases prevalence, food insecurity driven by absolute poverty and population growth, and natural capital as a poverty trap. The design and implementation of such efforts, aiming at human health improvement and poverty alleviation, should be framed into adaptive social-ecological system management perspectives. In this paper, we present few case studies dealing with human health improvement through anopheline malaria vectors control in Kenya, cattle health improvement through tsetse vectored nagana control, antitrypanosomal drug administration to cattle in Ethiopia and with the development of rural sustainable communities in Ethiopia. Some recommendations are given to rationalise human and cattle health improvement efforts and to smoothen the road towards enhanced sustainability.
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Affiliation(s)
- Gianni Gilioli
- Department of Molecular and Translational Medicine, Medical School, University of Brescia , Italy
| | - Anna Maria Caroli
- Department of Molecular and Translational Medicine, Medical School, University of Brescia , Italy
| | - Getachew Tikubet
- African Bioeconomy Capacity Development Institute, BioEconomy Africa , Addis Ababa, Ethiopia
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Gonzalez-Quevedo C, Davies RG, Richardson DS. Predictors of malaria infection in a wild bird population: landscape-level analyses reveal climatic and anthropogenic factors. J Anim Ecol 2014; 83:1091-102. [DOI: 10.1111/1365-2656.12214] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Accepted: 02/07/2014] [Indexed: 01/07/2023]
Affiliation(s)
| | - Richard G. Davies
- School of Biological Sciences; University of East Anglia; Norwich Research Park Norwich UK
| | - David S. Richardson
- School of Biological Sciences; University of East Anglia; Norwich Research Park Norwich UK
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Lorenz LM, Koella JC. Maternal environment shapes the life history and susceptibility to malaria of Anopheles gambiae mosquitoes. Malar J 2011; 10:382. [PMID: 22188602 PMCID: PMC3269443 DOI: 10.1186/1475-2875-10-382] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2011] [Accepted: 12/21/2011] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND It is becoming generally recognized that an individual's phenotype can be shaped not only by its own genotype and environmental experience, but also by its mother's environment and condition. Maternal environmental factors can influence mosquitoes' population dynamics and susceptibility to malaria, and therefore directly and indirectly the epidemiology of malaria. METHODS In a full factorial experiment, the effects of two environmental stressors - food availability and infection with the microsporidian parasite Vavraia culicis - of female mosquitoes (Anopheles gambiae sensu stricto) on their offspring's development, survival and susceptibility to malaria were studied. RESULTS The offspring of A. gambiae s.s. mothers infected with V. culicis developed into adults more slowly than those of uninfected mothers. This effect was exacerbated when mothers were reared on low food. Maternal food availability had no effect on the survival of their offspring up to emergence, and microsporidian infection decreased survival only slightly. Low food availability for mothers increased and V. culicis-infection of mothers decreased the likelihood that the offspring fed on malaria-infected blood harboured malaria parasites (but neither maternal treatment influenced their survival up to dissection). CONCLUSIONS Resource availability and infection with V. culicis of A. gambiae s.s. mosquitoes not only acted as direct environmental stimuli for changes in the success of one generation, but could also lead to maternal effects. Maternal V. culicis infection could make offspring more resistant and less likely to transmit malaria, thus enhancing the efficacy of the microsporidian for the biological control of malaria.
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Affiliation(s)
- Lena M Lorenz
- Division of Biology, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK.
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